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- Platt_scaling abstract "In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution over classes. The method was invented by John Platt in the context of support vector machines,replacing an earlier method by Vapnik,but can be applied to other classification models.Platt scaling works by fitting a logistic regression model to a classifier's scores.".
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- Platt_scaling wikiPageRevisionID "678508219".
- Platt_scaling wikiPageWikiLink Bayes_rule.
- Platt_scaling wikiPageWikiLink Binary_classification.
- Platt_scaling wikiPageWikiLink Boosting_(machine_learning).
- Platt_scaling wikiPageWikiLink Category:Probabilistic_models.
- Platt_scaling wikiPageWikiLink Category:Statistical_classification.
- Platt_scaling wikiPageWikiLink Cross-validation_(statistics).
- Platt_scaling wikiPageWikiLink Isotonic_regression.
- Platt_scaling wikiPageWikiLink John_Platt_(computer_scientist).
- Platt_scaling wikiPageWikiLink Levenberg–Marquardt_algorithm.
- Platt_scaling wikiPageWikiLink Logistic_function.
- Platt_scaling wikiPageWikiLink Logistic_regression.
- Platt_scaling wikiPageWikiLink Machine_learning.
- Platt_scaling wikiPageWikiLink Maximum_likelihood.
- Platt_scaling wikiPageWikiLink Maximum_likelihood_estimation.
- Platt_scaling wikiPageWikiLink Multilayer_perceptron.
- Platt_scaling wikiPageWikiLink Naive_Bayes_classifier.
- Platt_scaling wikiPageWikiLink Newtons_method_in_optimization.
- Platt_scaling wikiPageWikiLink Numerical_stability.
- Platt_scaling wikiPageWikiLink Overfitting.
- Platt_scaling wikiPageWikiLink Probabilistic_classification.
- Platt_scaling wikiPageWikiLink Random_forest.
- Platt_scaling wikiPageWikiLink Relevance_vector_machine.
- Platt_scaling wikiPageWikiLink Scalar_(mathematics).
- Platt_scaling wikiPageWikiLink Sign_function.
- Platt_scaling wikiPageWikiLink Statistical_classification.
- Platt_scaling wikiPageWikiLink Support_vector_machine.
- Platt_scaling wikiPageWikiLink Support_vector_machines.
- Platt_scaling wikiPageWikiLink Test_set.
- Platt_scaling wikiPageWikiLink Validation_set.
- Platt_scaling wikiPageWikiLink Vladimir_Vapnik.
- Platt_scaling wikiPageWikiLinkText "Platt scaling".
- Platt_scaling hasPhotoCollection Platt_scaling.
- Platt_scaling wikiPageUsesTemplate Template:Efn.
- Platt_scaling wikiPageUsesTemplate Template:Machine_learning_bar.
- Platt_scaling wikiPageUsesTemplate Template:Math.
- Platt_scaling wikiPageUsesTemplate Template:Mvar.
- Platt_scaling wikiPageUsesTemplate Template:Notelist.
- Platt_scaling wikiPageUsesTemplate Template:Reflist.
- Platt_scaling subject Category:Probabilistic_models.
- Platt_scaling subject Category:Statistical_classification.
- Platt_scaling hypernym Way.
- Platt_scaling comment "In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution over classes. The method was invented by John Platt in the context of support vector machines,replacing an earlier method by Vapnik,but can be applied to other classification models.Platt scaling works by fitting a logistic regression model to a classifier's scores.".
- Platt_scaling label "Platt scaling".
- Platt_scaling sameAs m.0_yjgxz.
- Platt_scaling sameAs Q17146653.
- Platt_scaling sameAs Q17146653.
- Platt_scaling wasDerivedFrom Platt_scaling?oldid=678508219.
- Platt_scaling isPrimaryTopicOf Platt_scaling.